self-conscious - Story 126819 | Emotion Vectors in Gemma4-31B

It was a cruel twist of fate, sitting in this office. I couldn't stop the tremors in my hands. The waiting room decor was deliberately calming, but it only served to highlight the tension inside me. Across from me, Dr. Harrison, formerly the bane of my existence, sat patiently, observing.

I felt like I was back in the school cafeteria, all eyes on me, waiting for me to trip and fall. He was supposed to help me, but the presence of the man who had always made me feel so insignificant was making the task seem impossible.

He leaned forward slightly, his expression open. I stared at my hands.

Emotion: self-conscious

Cluster: Embarrassment

PC1 (Valence): -1.03 Negative

PC2 (Disposition): 0.52

Role in Research

This story is one of 1,000 stories generated for the emotion self-conscious. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 self-conscious stories, after denoising with neutral dialogue baselines, produces the self-conscious emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the self-conscious vector is projected through the unembedding matrix.

Promoted:

`S`	0.307
`C`	0.298
`ness`	0.273
`尴尬`	0.263
`😶`	0.242

Suppressed:

`que`	-0.399
`de`	-0.266
`triumphant`	-0.266
`আনন্দের`	-0.247
`ايا`	-0.238